Safety helmet detection algorithm in complex scenarios based on YOLOX-Reference-Cited by-同舟云学术

Safety helmet detection algorithm in complex scenarios based on YOLOX

Published:2022-08 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Artificial Intelligence, Information Processing and Cloud Computing (AIIPCC)
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Author:

Xiang Dongsheng¹,Zhu Baisong²,Wu Xu¹,Ou Yangfei¹

Affiliation:

1. CHENGDU UNIVERSITY OF TECHNOLOGY College of Computer Science and Cyber Security (Oxford Brookes College), Chengdu University of Technology,Chengdu,China

2. College of Mechanical and Electrical Engineering Chengdu University of Technology,Chengdu,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10070113/10069879/10070235.pdf?arnumber=10070235

Reference16 articles.

1. Fire Scenario Detection Method[J];zhang;Wireless Communications and Mobile Computing,2022

2. Detecting Peanut Flowers in Images Collected from a Field with the New High-Performance Detector YOLOX[C];s;2022 ASABE Annual International Meeting American Society of Agricultural and Biological Engineers,0

3. Squeeze-and-Excitation Networks

4. A pedestrian detection algorithm for low light and dense crowd Based on improved YOLO algorithm[C]//MATEC Web of Conferences;mao;EDP Sciences,0

5. Lightweight Detection Algorithm of Kiwifruit Based on Improved YOLOX-S

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